Parallel R
Data Analysis in the Distributed World
Book Description
It's tough to argue with R as a high-quality, cross-platform, open source statistical software product - unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You'll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, and when they don't.With these packages, you can overcome R's single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R's memory barrier.
Book Details | |
| Publisher: | O'Reilly Media |
| By: | Q. Ethan McCallum, Stephen Weston |
| ISBN-13: | 9781449309923 |
| ISBN-10: | 1449309925 |
| Year: | 2011 |
| Pages: | 126 |
| Language: | English |
Book Preview | |
| Online | Parallel R |
Free Download | |
| Source Code | Parallel R |
Paper Book | |
| Buy: | Parallel R |
Share Parallel R
